|Full Name||Md. Nurul Ahad Tawhid|
|Qualification||M.S (CSE, DU)|
|Google Scholar Profile|
|Status||On Study Leave|
1. Laskar, Md Nasir Uddin, Md Nurul Ahad Tawhid, and TaeChoong Chung. "Extended Kalman Filter (EKF) and K-means clustering approach for state space decomposition of autonomous mobile robots." In Electrical & Computer Engineering (ICECE), 2012 7th International Conference on, pp. 113-116. IEEE, 2012.
2. Sabrin, Kaeser Md, Tao Zhang, Song Chen, Md Nurul Ahad Tawhid, Md Hasanuzzaman, Md Haider Ali, and Haruki Ueno. "An intensity and size invariant real time face recognition approach." In International Conference Image Analysis and Recognition, pp. 502-511. Springer, Berlin, Heidelberg, 2009.
1. Md. Nurul Ahad Tawhid and Emon Kumar Dey. “A Gender Recognition System from Facial Image.” International Journal of Computer Applications 180, no. 23 (2018): 5-14.
2. Tahmid, Ahmad, Md Nurul Ahad Tawhid, Sumon Ahmed, and Kazi Sakib. "Code sniffer: a risk based smell detection framework to enhance code quality using static code analysis." International Journal of Software Engineering, Technology and Applications 2, no. 1 (2017): 41-63.
3. Islam, SM Sofiqul, Emon Kumar Dey, Md Nurul Ahad Tawhid, and BM Mainul Hossain. "A CNN Based Approach for Garments Texture Design Classification." Advances in Technology Innovation 2, no. 4 (2017): 119-125.
4. Nahar, Nadia, Sujon Ali, and Md Nurul Ahad Tawhid. "An Improved Code Clone Tracking Approach in Evolving Software." International Journal of Advanced Research in Computer Science 7, no. 7 (2016).
5. Dey, Emon Kumar, Md Nurul Ahad Tawhid, and Mohammad Shoyaib. "An automated system for garment texture design class identification." Computers 4, no. 3 (2015): 265-282.
6. Sumon Ahmed, Md. Nurul Ahad Tawhid, Kazi Sakib, Md. Mustafizur Rahman. "A multi-objective evolutionary approach to reconstruct gene regulatory network using recurrent neural network model", Biojournal of Science and Technology. Vol:2, 2015
7. Tawhid, Nurul Ahad, Nasir Uddin Laskar, and Haider Ali. "A Vision-based Facial Expression Recognition and Adaptation System from Video Stream." International Journal of Machine Learning and Computing 2, no. 5 (2012): 535.
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